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--- |
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base_model: openai/whisper-tiny |
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language: |
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- it |
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library_name: transformers |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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model-index: |
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- name: Whisper Tiny Italian Combine 5k - Chee Li |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Tiny Italian Combine 5k - Chee Li |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Google Fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4933 |
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- Wer: 52.2594 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 5000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 0.5398 | 0.0849 | 1000 | 0.6209 | 60.9740 | |
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| 0.4894 | 0.1699 | 2000 | 0.5541 | 56.0544 | |
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| 0.4558 | 0.2548 | 3000 | 0.5213 | 54.6387 | |
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| 0.4267 | 0.3398 | 4000 | 0.5010 | 52.4281 | |
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| 0.4225 | 0.4247 | 5000 | 0.4933 | 52.2594 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.20.1 |
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